{"id":428,"date":"2021-06-14T14:29:33","date_gmt":"2021-06-14T14:29:33","guid":{"rendered":"https:\/\/wordpress.clarku.edu\/fsangermano\/?page_id=428"},"modified":"2021-06-14T14:34:57","modified_gmt":"2021-06-14T14:34:57","slug":"advanced-raster-gis-geog-296-397","status":"publish","type":"page","link":"https:\/\/wordpress.clarku.edu\/fsangermano\/teaching\/advanced-raster-gis-geog-296-397\/","title":{"rendered":"Advanced Raster GIS (GEOG 296\/397)"},"content":{"rendered":"<p>This course introduces students to modeling approaches using Raster data.The course starts with methods for multi-temporal raster analysis, including trend detection. The course then focuses on spatial deductive and inductive modeling. Students will learn theory and practical applications through labs, and scientific readings focused on applications to land change modeling, species distribution modeling, climate change and habitat degradation. Students will demonstrate proficiency through the development of a final project.<\/p>\n<p>&nbsp;<\/p>\n<p>After the successful completion of the course, students should be able to:<\/p>\n<ol>\n<li>&nbsp; &nbsp;&nbsp; <strong>Define and understand<\/strong> fundamental principles of raster analysis<\/li>\n<li>&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; <strong>Identify<\/strong> data and methods more appropriate for a particular modeling purpose.<\/li>\n<li>&nbsp;&nbsp;&nbsp;&nbsp; <strong>Design<\/strong> and <strong>implement<\/strong> a raster modeling projects from data download to delivered products.<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<p><strong>Prerequisites: <\/strong>Intro GIS and Intro RS<\/p>\n<p>&nbsp;<\/p>\n<p>Example of Final Project:<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"size-large wp-image-429 alignleft\" src=\"https:\/\/wordpress.clarku.edu\/wp-content\/uploads\/sites\/173\/2021\/06\/JourneySyllabusTemplate_AR-624x1024.jpg\" alt=\"\" width=\"624\" height=\"1024\" srcset=\"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-content\/uploads\/sites\/173\/2021\/06\/JourneySyllabusTemplate_AR-624x1024.jpg 624w, https:\/\/wordpress.clarku.edu\/fsangermano\/wp-content\/uploads\/sites\/173\/2021\/06\/JourneySyllabusTemplate_AR-183x300.jpg 183w, https:\/\/wordpress.clarku.edu\/fsangermano\/wp-content\/uploads\/sites\/173\/2021\/06\/JourneySyllabusTemplate_AR.jpg 643w\" sizes=\"auto, (max-width: 624px) 100vw, 624px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>This course introduces students to modeling approaches using Raster data.The course starts with methods for multi-temporal raster analysis, including trend detection. The course then focuses on spatial deductive and inductive modeling. Students will learn theory and practical applications through labs,&hellip; <\/p>\n","protected":false},"author":198,"featured_media":0,"parent":50,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"ngg_post_thumbnail":0,"footnotes":""},"class_list":["post-428","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/pages\/428","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/users\/198"}],"replies":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/comments?post=428"}],"version-history":[{"count":0,"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/pages\/428\/revisions"}],"up":[{"embeddable":true,"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/pages\/50"}],"wp:attachment":[{"href":"https:\/\/wordpress.clarku.edu\/fsangermano\/wp-json\/wp\/v2\/media?parent=428"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}